Download Near surface layers and global climate change with its implications

Survey
yes no Was this document useful for you?
   Thank you for your participation!

* Your assessment is very important for improving the workof artificial intelligence, which forms the content of this project

Document related concepts

Climate sensitivity wikipedia , lookup

Effects of global warming on humans wikipedia , lookup

Snowball Earth wikipedia , lookup

Scientific opinion on climate change wikipedia , lookup

Public opinion on global warming wikipedia , lookup

Climate change, industry and society wikipedia , lookup

Climate change and poverty wikipedia , lookup

Climate change in Tuvalu wikipedia , lookup

Surveys of scientists' views on climate change wikipedia , lookup

Solar radiation management wikipedia , lookup

Global warming wikipedia , lookup

Attribution of recent climate change wikipedia , lookup

General circulation model wikipedia , lookup

IPCC Fourth Assessment Report wikipedia , lookup

Instrumental temperature record wikipedia , lookup

Climate change in the Arctic wikipedia , lookup

Climate change feedback wikipedia , lookup

Effects of global warming on Australia wikipedia , lookup

Global Energy and Water Cycle Experiment wikipedia , lookup

Future sea level wikipedia , lookup

Transcript
Qualifying Exam
Jerome E. Mitchell
Abstract
In order to satisfy qualifying exam requirements adhered to by the School of Informatics
and Computing, I will provide an explanation of near surface layers and global climate
change with its implications to sea level rise.
Figure 1: Processes Describing the Greenhouse Effect [8]
Introduction
Global climate change, which is caused by greenhouse gases are trapped in Earth’s
atmosphere are influenced by the following greenhouse gases:
1. Water Vapor - an most abundant gas increases as the Earth's atmosphere warms,
and it provides important feedback into the greenhouse effect.
2. Carbon Dioxide – a minor but very important gas, it is released by natural
processes and human activities, which have increased atmospheric concentration
is thought to be a major forced causing of climate change.
3. Methane – an active, but less abundant gas is produced both through natural
sources and human activities.
4. Nitrous Oxide – a greenhouse gas produced by organic processes.
5. Chlorofluorocarbons - a gas composed entirely of industrial origin materials
The greenhouse effect could warm oceans and melt glaciers (process shown in Figure 1),
which would increase sea level and cause devastating outcomes for those living in coastal
areas. In fact, sea level has been rising approximately 1.8mm per year [4], and although
the glaciers are unlikely to melt in its entirely, the amount of water contained in glaciers
could raise sea level to 70 meters [3]. Understanding ice sheet contribution is determined
by mass balance, which is either the net gain or loss of ice. There are a number of
approaches for estimating the mass balance -- three include: the integrated, ice flux, and
Earth gravity field approaches. In the integrated approach, an ice sheet is estimated by
measuring the elevation to ice volume change. The ice flux technique compares the snow
accumulation and ice flow masses along with the water drained at ice sheet margins.
Lastly, the Earth’s gravity field approach correlates changes from satellites observations
to ice volume change. Mass balance estimates are used as input into climate models for
forecasting global climate change [2]. Traditionally, scientists have used sparse sampling
[1] for determining the mass balance, but this technique is susceptible to errors and do not
cover a broad enough area.
The Center for Remote Sensing of Ice Sheets (CReSIS), a Science and Technology
Center established by the National Science Foundation, has developed and deployed
nonintrusive instruments capable of increasing better estimates of the accumulation (as
shown in Figure 2) for ice sheets to create more accurate mass balance assessments.
Information acquired from subsurface features imaged using radar technology include
accumulation and ice thickness. Ice thickness result from accurate selection of surface
and bedrock topographies while the accumulation rates are determined from near-surface
internal layers. For the purpose of discussion, I will discuss ice features, namely near
surface internal layers since tracking accumulation rates will greatly improve accuracy
for climate models by analyzing the internal content of the polar ice sheets. There are two
main internal layers: deep layers and near surface internal layers.
Figure 2: Example of Near Surface Internal Layers from Radar Sounding [10]
Figure 2: Description of Various Near Surface Ice Layers [7]
Physical Properties of Near Surface Internal Layers
Near surface internal layers are complex and vary from year to year and can be
characterized into three classes: accumulation, icy layers, and depth hoars. An
explanation of the three specific layers can be explained below:
Accumulation layers are the greatest amount of granulated, compacted snow, which has
passed through a particular melt season, near the surface. Snow, during an accumulation
event, gets buried deeper into the ice sheet. Accumulation densities are influenced by
heat flux and weight, which vary and cause depth hoards. Also,
Hoar layers, most visual in near surface layers are formed when ice crystals are sublimed
because of large temperature gradients. Near surface internal layers cause temperature
gradients to form when surface air temperature is warmer [6]. Modulating layer density
allows water vapor to exchange among layers [5]. The density among surrounding layers
are caused by substantial reflection because of the huge contrasts compared to adjacent
layers.
Icy layers represent a small fraction of near surface internal layers, but they cover very
broad areas. Precipitation, temperature and wind conditions form icy layers, and although
the dry snow zone does not have events of either rain or melt, mechanisms allow for
kinetic heating and compaction.
Conclusion
Global climate change can provide devastating consequences for coastal regions due to a
rise in sea level.
The state of the mass balance is depended on glaciers since they
provide significant historical information. Understanding glacier behavior relies on
developing accurate climate models for forecasting global climate change. The Center
for Remote Sensing of Ice Sheets has used remote sensing technologies by sounding near
surface layers, which are entails information about accumulation rate and ice sheet
thickness.
References
[1] Winebrenner, Dale P. and Robert J. Arthern. “Mapping Greenland Accumulation
Rates Using Observations of Thermal Emission at 4.5-cm Wavelength.” Journal of
Geophysical Research. Vol 106, No. D24, 2001.
[2] Knight, P.G. Glaciers. Routledge: Oxford, UK, 1999.
[3] Oveisgharan, Shadi and Howard A. Zebker, “Estimating Snow Accumulation from
InSAR Correlation Observations.” Stanford University. 2005.
[4] Leysinger Vieli, Gwendolyn, Martin J. Siegert and Antony J. Payne. “Reconstructing
Ice Sheet Accumulation Rates at Ridge B, East Antarctica.” University of Bristol.
[5] Colbeck, Samuel C., J. Bruce Jamieson. “The Formation of Faeted Layers Above
Crusts.”
Cold
Regions
Science
and
Technology.
Vol.
33.
2001.
[6] Pfeffer, W.T., R. Mrugala. “Temperature Gradient and Initial Snow Density as
Controlling Factors in the Formation and Structure of Hard Depth Hoar.” Journal of
Glaciology. Vol. 48, No. 163, 2002.
[7]. Rink, T. Design and evaluation of a fine-­‐resolution radar for mapping near-­‐
surface layers using plane waves. Diss. Master’s thesis, The University of Kansas, Lawrence, KS, 2006. [8] The Greenhouse Effect. http://www.enviroliteracy.org/article.php/367.html